- Data Quality
- Data Privacy & Protection
- Collibra
- Data Governance
- AWS
- Data Catalogue
Role Type: Pure Technical Role
Specific Contribution Expected from the Role:
- Defined enterprise Data Governance strategy in partnership with the CDO, establishing:
- Operating models
- Roles
- Workflows
- Tooling frameworks
- Evaluated and recommended metadata platforms (OpenMetadata vs. Alation) based on:
- Security
- Lineage
- Data quality
- Discovery needs for structured and unstructured data
- Unstructured data security
- Metadata management
- Data Quality (DQ)
- Lineage
- Discovery needs
Architectural Integration:
- Design governance integration across:
- S3 (Structured and Unstructured data for PII handling)
- dbt
- Warehouse in Snowflake
- Sandbox definitions in Snowflake
- Semantic Layer (e.g., SSAS Cubes or AtScale)
- AI/ML Lifecycle including:
- Feature stores
- Model lineage
- RAG lineage for future Agentic AI use cases
Financial & Strategic Roadmap:
- Develop execution roadmap including:
- Phased rollout plan
- Resource requirements
- Total Cost of Ownership (TCO)
Required Experience:
- 12+ years in Data Management
- 5+ years leading Enterprise Data Governance programs
Tool Expertise:
- Hands-on experience with up-to-date metadata platforms
- Must be able to articulate trade-offs between:
- Alation (Enterprise / Market Leader)
- OpenMetadata
Key Focus Areas:
- Enterprise Data Governance
- Metadata Management
- Data Lineage
- Data Privacy & Protection
- AI/ML Governance
- Semantic Layer Governance
- Governance Architecture
- Compliance & Security
- Structured & Unstructured Data Governance
If you are interested in this opportunity, please click on the Apply Now button to submit your application.